{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 训练算法\n",
    "\n",
    "本笔记介绍 LLM 的各种训练算法和技术。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 导入自定义模块\n",
    "import sys\n",
    "sys.path.append('../src')\n",
    "\n",
    "from utils.visualization import plot_training_curves"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 预训练\n",
    "\n",
    "预训练是 LLM 训练的第一阶段。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 微调\n",
    "\n",
    "微调是针对特定任务优化模型的过程。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 示例代码将在这里添加"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3.13.0"
  }
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 "nbformat": 4,
 "nbformat_minor": 4
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